Senior Data Scientist (m/f/d)

Germany, Munich, Germany, Berlin

Full-time

Permanent employee

Your daily workout

Put your data science and machine learning talent behind a good cause and help make the world a healthier place by developing the next generation of product innovations at EGYM. You will take a leading individual-contributor role on EGYM Genius – the engine that powers personalized training plans for our users – combining LLMs, classical machine learning, and agentic systems from idea all the way to production. Apply now as a Senior Data Scientist (m/f/d) and be part of our Data Science team in Munich or Berlin.

Model Development: You use EGYM’s diverse training and health data to build machine-learning models that support effective and healthy workouts
Data Exploration: You analyze complex datasets, validate hypotheses, and develop new approaches for challenging problems
LLM & Agent Design: You design and maintain LLM-based components and agents that reason over user context, call tools/APIs, and orchestrate multi-step flows to generate, adapt, and explain training plans
LLM Evaluation: You set up robust evaluation pipelines for LLM features and agents (golden datasets, automatic metrics, human evals, regression checks, and safety/guardrail tests)
Local & Open-Source Models: You are comfortable going beyond “just an API” - you can work with local/open-source models (running them on our infrastructure, adapting or fine-tuning them, and balancing quality, latency, and cost)
Collaboration: You work closely with Software Engineering and Product Management while sharing feasibility insights and ongoing results
Implementation: You develop solutions in a dynamic software environment aligned with the EGYM Tech Radar
Innovation Monitoring: You track advancements in AI and machine learning to ensure our solutions remain state-of-the-art

Your fitness level

Experience: You bring 5+ years of experience delivering machine-learning-based solutions, ideally in personalization, recommender systems, or decision-support products
Programming & Data: You write production-ready Python and work confidently with structured and unstructured data across SQL and NoSQL databases; you’re comfortable collaborating with backend engineers working in Java
ML & LLMs: You have strong ML fundamentals and hands-on experience building and evaluating LLM-powered features or agents (prompt design, retrieval, tool use, multi-step flows, defining quality criteria, building test sets, running automated and human evaluations, and doing error analysis). You’re also familiar with adapting local/open-source models and understand trade-offs in size, serving, performance, and cost
Hybrid Approaches: You’re comfortable combining classical ML and LLMs (e.g. for scoring, ranking, recommendation, or as components in larger decision systems)
Communication & Ownership: You explain complex topics clearly, work effectively with different stakeholders, and see problems through from definition to production launch

Your training goal for your first 6 months

Domain Knowledge: You become highly familiar with EGYM’s health and training data
Cross-Functional Experience: You complete a rotation in a software development team and collaborate directly with engineers
Impact Contribution: You deliver visible product improvements and optimize your work using real usage feedback
Process Optimization: You help us to standardize how we build and ship models and LLM agents – defining reusable evaluation suites, automating training and deployment steps, and setting up monitoring for quality, drift, and safety
Product Partnership: You act as a sparring partner for Product Management and help extend our product vision

The equipment we provide

Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
Continuous Development: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
Work-Life-Balance: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
Fit & Healthy: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
Flex Budget: Use €60 per month flexibly for public transportation and a meal subsidy
Mentoring Program: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
Bike Leasing: Stay active and use our leasing bike offer on your way to work or in your spare time
Subsidized Pension: Profit from our employer-subsidized pension

Contact Information

Apply now with your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1807.

Contact: Lara Kaul

For further information: https://career.egym.com

Über uns

Warnung vor Phishing-E-Mails: Bitte beachte, dass die offizielle Recruiting-Kommunikation von EGYM ausschließlich über jobs@egym.com erfolgt. Solltest du eine verdächtige Nachricht von einer anderen Domain erhalten, teile im Zweifelsfall bitte keine persönlichen Informationen.

EGYM ist ein weltweiter Technologieführer von intelligenten Trainingslösungen für die Fitness- und Gesundheitsbranche. Das umfassende Angebot an vernetzten Fitnessgeräten und digitalen Produkten lässt sich in die Hard- und Software von Drittanbietern anbinden und ermöglicht so ein komplettes integriertes Training mit messbaren Ergebnissen für Nutzer*innen und Betreiber*innen.

Für Unternehmen bietet EGYM Abonnement-basierte Fitness- und Wellness-Lösungen an. Beschäftigte erhalten Zugang zu hochwertigen Sport- und Gesundheitseinrichtungen sowie EGYM Trainingsprogrammen und profitieren dadurch von der Verbesserung ihres allgemeinen Gesundheitszustands. Zur Vorbeugung gegen kostspielige Krankheiten, für höhere Produktivität und gesteigertes Wohlbefinden.

EGYM hat seinen Hauptsitz in München mit weiteren Niederlassungen in ganz Europa und einem US-Sitz in Denver, Colorado.

EGYM setzt sich für die Chancengleichheit bei der Beschäftigung ein. Alle Aspekte der Beschäftigung, einschließlich der Entscheidung über Einstellung, Beförderung, Disziplinarmaßnahmen oder Entlassung, beruhen auf Verdienst, Kompetenz, Leistung und geschäftlichen Erfordernissen, unabhängig von Rasse, Geschlecht, Religion, sexueller Orientierung, Alter oder anderen Aspekten der Identität einer Person.